Semantic Models for Scalable Search in the Internet of Things

The Internet of Things is anticipated to connect billions of embedded devices equipped with sensors to perceive their surroundings. Thereby, the state of the real world will be available online and in real-time and can be combined with other data and services in the Internet to realize novel applica...

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Main Authors: Dennis Pfisterer, Kay Römer, Richard Mietz, Sven Groppe
Format: Article
Language:English
Published: MDPI AG 2013-03-01
Series:Journal of Sensor and Actuator Networks
Subjects:
Online Access:http://www.mdpi.com/2224-2708/2/2/172
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author Dennis Pfisterer
Kay Römer
Richard Mietz
Sven Groppe
author_facet Dennis Pfisterer
Kay Römer
Richard Mietz
Sven Groppe
author_sort Dennis Pfisterer
collection DOAJ
description The Internet of Things is anticipated to connect billions of embedded devices equipped with sensors to perceive their surroundings. Thereby, the state of the real world will be available online and in real-time and can be combined with other data and services in the Internet to realize novel applications such as Smart Cities, Smart Grids, or Smart Healthcare. This requires an open representation of sensor data and scalable search over data from diverse sources including sensors. In this paper we show how the Semantic Web technologies RDF (an open semantic data format) and SPARQL (a query language for RDF-encoded data) can be used to address those challenges. In particular, we describe how prediction models can be employed for scalable sensor search, how these prediction models can be encoded as RDF, and how the models can be queried by means of SPARQL.
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spelling doaj.art-7a2d82e2408b4e7e977ace8527883ea72022-12-22T00:36:51ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082013-03-012217219510.3390/jsan2020172Semantic Models for Scalable Search in the Internet of ThingsDennis PfistererKay RömerRichard MietzSven GroppeThe Internet of Things is anticipated to connect billions of embedded devices equipped with sensors to perceive their surroundings. Thereby, the state of the real world will be available online and in real-time and can be combined with other data and services in the Internet to realize novel applications such as Smart Cities, Smart Grids, or Smart Healthcare. This requires an open representation of sensor data and scalable search over data from diverse sources including sensors. In this paper we show how the Semantic Web technologies RDF (an open semantic data format) and SPARQL (a query language for RDF-encoded data) can be used to address those challenges. In particular, we describe how prediction models can be employed for scalable sensor search, how these prediction models can be encoded as RDF, and how the models can be queried by means of SPARQL.http://www.mdpi.com/2224-2708/2/2/172Internet of Thingssearchingsensorsprobability models
spellingShingle Dennis Pfisterer
Kay Römer
Richard Mietz
Sven Groppe
Semantic Models for Scalable Search in the Internet of Things
Journal of Sensor and Actuator Networks
Internet of Things
searching
sensors
probability models
title Semantic Models for Scalable Search in the Internet of Things
title_full Semantic Models for Scalable Search in the Internet of Things
title_fullStr Semantic Models for Scalable Search in the Internet of Things
title_full_unstemmed Semantic Models for Scalable Search in the Internet of Things
title_short Semantic Models for Scalable Search in the Internet of Things
title_sort semantic models for scalable search in the internet of things
topic Internet of Things
searching
sensors
probability models
url http://www.mdpi.com/2224-2708/2/2/172
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